I use code and tools to understand how things work and share what I find.
My background is in electrical and electronics engineering. I have hands-on experience using technical tools to visualize and explore complex systems. I learn best by building things and testing my assumptions rather than just reading about them.
My deeper interest now is in artificial intelligence, systems, and the broader world of technology that shapes how we live and work. I am preparing for further study and exploring where in tech or research I want to focus next. I do not claim to be an expert in any of these areas. I am still figuring things out.
I value transparency. What you see on this site is an honest representation of where I am in my journey. I am more interested in building a solid foundation than in making inflated claims about my abilities or accomplishments.
My SGP4 and DSGP4 work was not about inventing new math, but learning how to use open-source libraries and technical platforms to visualize orbits and real-world data. Anyone can experiment and learn this with curiosity and the right approach.
What I did: Used Python, existing SGP4 libraries, and visualization tools to build interactive orbit simulations from TLE data.
What I learned: How to work through complex mathematical models by implementing them in code, the importance of using trusted open-source tools, and how to make technical concepts approachable through visualization.
This was a personal learning project, not a formal research appointment or professional aerospace experience.
I built a tool that calculates when satellites will fly overhead. It answers two simple questions: when will a satellite appear, and will the signal be strong enough to hold a connection? It’s designed to make tracking practical and reliable.
This is a web page that visualizes thousands of satellites moving in real-time. The main challenge was writing the code efficiently so it could track thousands of moving objects without making the browser lag or freeze.